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Jeremy has immersed himself in big data and analytics for 14 years, including a comprehensive focus on health care and ways the public and private sectors can deploy technology to improve population health and reduce costs. He knows that analytics is critical to driving health care modernization, and understands the complex implications of the Affordable Care Act, new care and payment models and Medicaid changes. As a member of the SAS State & Local Government practice, Jeremy works with the public sector to help them understand how analytics can empower modernization and enhancements across the healthcare continuum.

Behavioral health information technology (HIT) adoption efforts have struggled and are still plagued by a number of challenges. Since 2011, the federal government has incentivized the industry to the tune of $37 billion. However, according to US Senator Sheldon Whitehouse (D-RI) “psychologists, community mental health centers, psychiatric hospitals, and others

Native American health continues to lag behind other populations in the US. In fact, the American Indians and Alaskan Natives (AI/AN) population lives, on average, 4.4 fewer years than the rest of the US population, and is experiencing significant disparities in a variety of health indicators. The numbers reveal this stark

Today’s Medicaid environment is drastically different from that 5, 10 or 20 years ago. Medicaid enrollment has grown to monumental heights with recent CMS numbers (April 2015) at over 70 million. As enrollment rises, concerns about efficient management of care access, cost, quality, and effectiveness have become even more prominent.

The physical and social costs of untreated mental illness are significant and have been discussed in detail in previous posts. Now let’s talk about the immense financial costs, then I’ll wrap up the series with a conclusion. The financial costs cover a broad cross-section of society, including government services and

The impact of mental illness on individuals, families, the health system and even the economy is broad and significant. In this, the latest post in my mental health series, I’d like to talk about what can be done to help. Prevention and early detection are just parts of an integrated

Last week I discussed factors that threaten access to mental health care. However, better access to care doesn’t always mean better quality of care. Overworked mental health professionals and overcrowded ERs are forced to expend efforts and limited resources where they have the most impact. This forces compromises in care.

A lack of mental health professionals is pushing the US mental health system to a crisis point. And even if a psychiatrist commits someone to a facility, there may not be a bed for them. A startling 55 percent of all US counties have zero psychiatrists, psychologists or social workers

Part 1: The challenge and the opportunity Mental illness continues to profoundly affect the nation’s population and, for the most part, remains greatly under analyzed. This is the first entry in a series about the mental health problem in the US, and how an analytic approach can improve care for

The healthcare big data revolution has only just begun. Current efforts percolating around the country primarily surround aggregation of clinical electronic health records (EHRs) & administrative healthcare claims. These healthcare big data initiatives are gaining traction and could produce exciting enhancements to the effectiveness and efficiency of the US healthcare